Raspberry Pi’s new add-on board has 8GB of RAM for running gen AI models
AI in Business

Raspberry Pi’s new add-on board has 8GB of RAM for running gen AI models

January 16, 20262 min readBy Morgan Tate

Raspberry Pi AI HAT + 2: Democratizing Edge‑AI for 2026 Enterprises { "@context": "https://schema.org", "@type": "TechArticle", "headline": "Raspberry Pi AI HAT + 2: Democratizing Edge‑AI for 2026 Enterprises", "description": "A deep dive into the Raspberry Pi AI HAT + 2, its hardware specs, software stack, market impact, and strategic implications for businesses seeking low‑latency, privacy‑first AI on the edge.", "image": [ { "@type": "ImageObject", "url": "https://example.com/images/raspberry-pi-ai-hat-2-board.jpg", "description": "Raspberry Pi AI HAT +2 board with Hailo 10H NPU and 8 GB LPDDR4X" } ], "author": { "@type": "Person", "name": "Senior Technology Journalist" }, "publisher": { "@type": "Organization", "name": "Tech Insight Media" }, "datePublished": "2026-01-10", "mainEntityOfPage": "https://example.com/raspberry-pi-ai-hat-2-edge-ai" } body{font-family:Arial,Helvetica,sans-serif;margin:0;padding:1rem;background:#f9f9f9;color:#222} h1,h2,h3{color:#004d99} pre{background:#eaeaea;padding:.5rem;border-radius:.25rem;overflow:auto} code{font-family:monospace} ul,ol{margin-left:1.5rem} table{border-collapse:collapse;width:100%} th,td{border:1px solid #ccc;padding:.5rem;text-align:left} Raspberry Pi AI HAT + 2: Democratizing Edge‑AI for 2026 Enterprises The Raspberry Pi ecosystem has long been a playground for makers and educators, but the launch of the AI HAT + 2 in early 2026 is turning that playground into a low‑cost, high‑performance edge‑AI platform. With an 8 GB on‑board NPU capable of running full language models locally, this add‑on board redefines what’s possible for small‑business developers and hardware enthusiasts who need generative AI without the latency, bandwidth, or privacy costs of cloud inference. Executive Summary 8 GB LPDDR4X memory – enough to host 1.5‑B parameter LLMs without host RAM contention. Hailo 10H NPU** – 40 TOPS (INT4) at just 3 W, enabling battery‑powered, low‑latency inference. Native integration with the Pi 5 SoC, camera

#healthcare AI#LLM#generative AI#investment#automation#robotics
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